mirror of https://github.com/vladmandic/human
26 lines
212 KiB
JavaScript
26 lines
212 KiB
JavaScript
var w1=Object.defineProperty,G0=e=>w1(e,"__esModule",{value:!0}),p=(e,t)=>()=>(t||(t={exports:{}},e(t.exports,t)),t.exports),we=(e,t)=>{G0(e);for(var n in t)w1(e,n,{get:t[n],enumerable:!0})},m1=p(ae=>{const g=require("@tensorflow/tfjs"),a1=6;function X0(e){const t={strides:[e/16,e/8],anchors:[2,6]},n=[];for(let r=0;r<t.strides.length;r++){const c=t.strides[r],_=Math.floor((e+c-1)/c),s=Math.floor((e+c-1)/c),h=t.anchors[r];for(let i=0;i<_;i++){const x=c*(i+.5);for(let w=0;w<s;w++){const l=c*(w+.5);for(let a=0;a<h;a++)n.push([l,x])}}}return n}const d1=e=>{e.startEndTensor.dispose(),e.startPoint.dispose(),e.endPoint.dispose()},l1=e=>({startEndTensor:e,startPoint:g.slice(e,[0,0],[-1,2]),endPoint:g.slice(e,[0,2],[-1,2])}),u1=(e,t)=>{const n=g.mul(e.startPoint,t),r=g.mul(e.endPoint,t),c=g.concat2d([n,r],1);return l1(c)};function Y0(e,t,n){const r=g.slice(e,[0,1],[-1,2]),c=g.add(r,t),_=g.slice(e,[0,3],[-1,2]),s=g.div(_,n),h=g.div(c,n),i=g.div(s,2),x=g.sub(h,i),w=g.add(h,i),l=g.mul(x,n),a=g.mul(w,n),o=1;return g.concat2d([l,a],o)}function K0(e,t){return g.tidy(()=>{const n=e.box?e.box:e;return u1(n,t).startEndTensor.squeeze()})}class f1{constructor(e,t){this.blazeFaceModel=e,this.width=t.detector.inputSize,this.height=t.detector.inputSize,this.anchorsData=X0(t.detector.inputSize),this.anchors=g.tensor2d(this.anchorsData),this.inputSize=g.tensor1d([this.width,this.height]),this.config=t,this.scaleFaces=.8}async getBoundingBoxes(e){if(!e||e.isDisposedInternal||e.shape.length!==4||e.shape[1]<1||e.shape[2]<1)return null;const[t,n,r]=g.tidy(()=>{const w=e.resizeBilinear([this.width,this.height]),l=g.sub(w.div(127.5),1),a=this.blazeFaceModel.predict(l);let o;if(Array.isArray(a)){const S=a.sort((d,u)=>d.size-u.size),I=g.concat([S[0],S[2]],2),N=g.concat([S[1],S[3]],2),L=g.concat([N,I],1);o=L.squeeze(0)}else o=a.squeeze();const m=Y0(o,this.anchors,this.inputSize),b=g.slice(o,[0,0],[-1,1]),M=g.sigmoid(b).squeeze();return[o,m,M]}),c=await g.image.nonMaxSuppressionAsync(n,r,this.config.detector.maxFaces,this.config.detector.iouThreshold,this.config.detector.scoreThreshold),_=c.arraySync();c.dispose();const s=_.map(w=>g.slice(n,[w,0],[1,-1])),h=s.map(w=>{const l=w.arraySync();return w.dispose(),l}),i=r.dataSync(),x=[];for(const w in h){const l=_[w],a=i[l];if(a>this.config.detector.minConfidence){const o=l1(h[w]),m=this.anchorsData[l],b=g.tidy(()=>g.slice(t,[l,a1-1],[1,-1]).squeeze().reshape([a1,-1]));x.push({box:o,landmarks:b,anchor:m,confidence:a})}}return t.dispose(),n.dispose(),r.dispose(),t.dispose(),{boxes:x,scaleFactor:[e.shape[2]/this.width,e.shape[1]/this.height]}}async estimateFaces(e){const{boxes:t,scaleFactor:n}=await this.getBoundingBoxes(e),r=[];for(const c of t){const _=c.landmarks.arraySync(),s=K0(c,n),h=u1.arraySync(),i=c.probability.arraySync(),x=c.anchor,[w,l]=n,a=_.map(m=>[(m[0]+x[0])*w,(m[1]+x[1])*l]),o={topLeft:h.slice(0,2),bottomRight:h.slice(2),landmarks:a,probability:i};d1(c.box),c.landmarks.dispose(),c.probability.dispose(),s.dispose(),r.push(o)}return r}}async function V0(e){const t=await g.loadGraphModel(e.detector.modelPath,{fromTFHub:e.detector.modelPath.includes("tfhub.dev")}),n=new f1(t,e);return console.log(`Human: load model: ${e.detector.modelPath.match(/\/(.*)\./)[1]}`),n}ae.load=V0;ae.BlazeFaceModel=f1;ae.disposeBox=d1}),Ee=p(be=>{be.MESH_ANNOTATIONS={silhouette:[10,338,297,332,284,251,389,356,454,323,361,288,397,365,379,378,400,377,152,148,176,149,150,136,172,58,132,93,234,127,162,21,54,103,67,109],lipsUpperOuter:[61,185,40,39,37,0,267,269,270,409,291],lipsLowerOuter:[146,91,181,84,17,314,405,321,375,291],lipsUpperInner:[78,191,80,81,82,13,312,311,310,415,308],lipsLowerInner:[78,95,88,178,87,14,317,402,318,324,308],rightEyeUpper0:[246,161,160,159,158,157,173],rightEyeLower0:[33,7,163,144,145,153,154,155,133],rightEyeUpper1:[247,30,29,27,28,56,190],rightEyeLower1:[130,25,110,24,23,22,26,112,243],rightEyeUpper2:[113,225,224,223,222,221,189],rightEyeLower2:[226,31,228,229,230,231,232,233,244],rightEyeLower3:[143,111,117,118,119,120,121,128,245],rightEyebrowUpper:[156,70,63,105,66,107,55,193],rightEyebrowLower:[35,124,46,53,52,65],rightEyeIris:[473,474,475,476,477],leftEyeUpper0:[466,388,387,386,385,384,398],leftEyeLower0:[263,249,390,373,374,380,381,382,362],leftEyeUpper1:[467,260,259,257,258,286,414],leftEyeLower1:[359,255,339,254,253,252,256,341,463],leftEyeUpper2:[342,445,444,443,442,441,413],leftEyeLower2:[446,261,448,449,450,451,452,453,464],leftEyeLower3:[372,340,346,347,348,349,350,357,465],leftEyebrowUpper:[383,300,293,334,296,336,285,417],leftEyebrowLower:[265,353,276,283,282,295],leftEyeIris:[468,469,470,471,472],midwayBetweenEyes:[168],noseTip:[1],noseBottom:[2],noseRightCorner:[98],noseLeftCorner:[327],rightCheek:[205],leftCheek:[425]};be.MESH_TO_IRIS_INDICES_MAP=[{key:"EyeUpper0",indices:[9,10,11,12,13,14,15]},{key:"EyeUpper1",indices:[25,26,27,28,29,30,31]},{key:"EyeUpper2",indices:[41,42,43,44,45,46,47]},{key:"EyeLower0",indices:[0,1,2,3,4,5,6,7,8]},{key:"EyeLower1",indices:[16,17,18,19,20,21,22,23,24]},{key:"EyeLower2",indices:[32,33,34,35,36,37,38,39,40]},{key:"EyeLower3",indices:[54,55,56,57,58,59,60,61,62]},{key:"EyebrowUpper",indices:[63,64,65,66,67,68,69,70]},{key:"EyebrowLower",indices:[48,49,50,51,52,53]}]}),p1=p(K=>{const $0=require("@tensorflow/tfjs");function Q0(e,t){const n=[e.startPoint[0]*t[0],e.startPoint[1]*t[1]],r=[e.endPoint[0]*t[0],e.endPoint[1]*t[1]];return{startPoint:n,endPoint:r}}K.scaleBoxCoordinates=Q0;function ve(e){return[Math.abs(e.endPoint[0]-e.startPoint[0]),Math.abs(e.endPoint[1]-e.startPoint[1])]}K.getBoxSize=ve;function Pe(e){return[e.startPoint[0]+(e.endPoint[0]-e.startPoint[0])/2,e.startPoint[1]+(e.endPoint[1]-e.startPoint[1])/2]}K.getBoxCenter=Pe;function Z0(e,t,n){const r=t.shape[1],c=t.shape[2],_=[[e.startPoint[1]/r,e.startPoint[0]/c,e.endPoint[1]/r,e.endPoint[0]/c]];return $0.image.cropAndResize(t,_,[0],n)}K.cutBoxFromImageAndResize=Z0;function J0(e,t=1.5){const n=Pe(e),r=ve(e),c=[t*r[0]/2,t*r[1]/2],_=[n[0]-c[0],n[1]-c[1]],s=[n[0]+c[0],n[1]+c[1]];return{startPoint:_,endPoint:s,landmarks:e.landmarks}}K.enlargeBox=J0;function et(e){const t=Pe(e),n=ve(e),r=Math.max(...n),c=r/2,_=[t[0]-c,t[1]-c],s=[t[0]+c,t[1]+c];return{startPoint:_,endPoint:s,landmarks:e.landmarks}}K.squarifyBox=et}),P1=p(C=>{C.IDENTITY_MATRIX=[[1,0,0],[0,1,0],[0,0,1]];function g1(e){return e-2*Math.PI*Math.floor((e+Math.PI)/(2*Math.PI))}C.normalizeRadians=g1;function tt(e,t){const n=Math.PI/2-Math.atan2(-(t[1]-e[1]),t[0]-e[0]);return g1(n)}C.computeRotation=tt;function nt(e){return e*180/Math.PI}C.radToDegrees=nt;function b1(e,t){return[[1,0,e],[0,1,t],[0,0,1]]}function V(e,t){let n=0;for(let r=0;r<e.length;r++)n+=e[r]*t[r];return n}C.dot=V;function E1(e,t){const n=[];for(let r=0;r<e.length;r++)n.push(e[r][t]);return n}C.getColumnFrom2DArr=E1;function v1(e,t){const n=[],r=e.length;for(let c=0;c<r;c++){n.push([]);for(let _=0;_<r;_++)n[c].push(V(e[c],E1(t,_)))}return n}function rt(e,t){const n=Math.cos(e),r=Math.sin(e),c=[[n,-r,0],[r,n,0],[0,0,1]],_=b1(t[0],t[1]),s=v1(_,c),h=b1(-t[0],-t[1]);return v1(s,h)}C.buildRotationMatrix=rt;function ct(e){const t=[[e[0][0],e[1][0]],[e[0][1],e[1][1]]],n=[e[0][2],e[1][2]],r=[-V(t[0],n),-V(t[1],n)];return[t[0].concat(r[0]),t[1].concat(r[1]),[0,0,1]]}C.invertTransformMatrix=ct;function _t(e,t){return[V(e,t[0]),V(e,t[1])]}C.rotatePoint=_t;function ht(e,t){return Math.sqrt((e[0]-t[0])**2+(e[1]-t[1])**2)}C.xyDistanceBetweenPoints=ht}),T1=p(S1=>{const j=require("@tensorflow/tfjs"),H=p1(),q=Ee(),W=P1(),st=468,ot=13,it=[ot,q.MESH_ANNOTATIONS.midwayBetweenEyes[0]],xt=3,yt=2,wt=[xt,yt],Se=q.MESH_ANNOTATIONS.leftEyeLower0,Te=[Se[0],Se[Se.length-1]],ke=q.MESH_ANNOTATIONS.rightEyeLower0,Me=[ke[0],ke[ke.length-1]],at=3,dt=4,lt=71,Ie=76;function de(e,t,n,r){for(let c=0;c<q.MESH_TO_IRIS_INDICES_MAP.length;c++){const{key:_,indices:s}=q.MESH_TO_IRIS_INDICES_MAP[c],h=q.MESH_ANNOTATIONS[`${n}${_}`],i=r==null;if(i||r.includes(_))for(let x=0;x<s.length;x++){const w=s[x];e[h[x]]=[t[w][0],t[w][1],(t[w][2]+e[h[x]][2])/2]}}}class ut{constructor(e,t,n,r){this.storedBoxes=[],this.runsWithoutFaceDetector=0,this.boundingBoxDetector=e,this.meshDetector=t,this.irisModel=n,this.meshWidth=r.mesh.inputSize,this.meshHeight=r.mesh.inputSize,this.irisSize=r.iris.inputSize,this.irisEnlarge=2.3,this.skipped=1e3,this.detectedFaces=0}transformRawCoords(e,t,n,r){const c=H.getBoxSize({startPoint:t.startPoint,endPoint:t.endPoint}),_=[c[0]/this.meshWidth,c[1]/this.meshHeight],s=e.map(a=>[_[0]*(a[0]-this.meshWidth/2),_[1]*(a[1]-this.meshHeight/2),a[2]]),h=W.buildRotationMatrix(n,[0,0]),i=s.map(a=>[...W.rotatePoint(a,h),a[2]]),x=W.invertTransformMatrix(r),w=[...H.getBoxCenter({startPoint:t.startPoint,endPoint:t.endPoint}),1],l=[W.dot(w,x[0]),W.dot(w,x[1])];return i.map(a=>[a[0]+l[0],a[1]+l[1],a[2]])}getLeftToRightEyeDepthDifference(e){const t=e[Te[0]][2],n=e[Me[0]][2];return t-n}getEyeBox(e,t,n,r,c=!1){const _=H.squarifyBox(H.enlargeBox(this.calculateLandmarksBoundingBox([e[n],e[r]]),this.irisEnlarge)),s=H.getBoxSize(_);let h=j.image.cropAndResize(t,[[_.startPoint[1]/this.meshHeight,_.startPoint[0]/this.meshWidth,_.endPoint[1]/this.meshHeight,_.endPoint[0]/this.meshWidth]],[0],[this.irisSize,this.irisSize]);return c&&(h=j.image.flipLeftRight(h)),{box:_,boxSize:s,crop:h}}getEyeCoords(e,t,n,r=!1){const c=[];for(let _=0;_<Ie;_++){const s=e[_*3],h=e[_*3+1],i=e[_*3+2];c.push([(r?1-s/this.irisSize:s/this.irisSize)*n[0]+t.startPoint[0],h/this.irisSize*n[1]+t.startPoint[1],i])}return{rawCoords:c,iris:c.slice(lt)}}getAdjustedIrisCoords(e,t,n){const r=e[q.MESH_ANNOTATIONS[`${n}EyeUpper0`][at]][2],c=e[q.MESH_ANNOTATIONS[`${n}EyeLower0`][dt]][2],_=(r+c)/2;return t.map((s,h)=>{let i=_;return h===2?i=r:h===4&&(i=c),[s[0],s[1],i]})}async predict(e,t){this.skipped++;let n=!1,r;if((this.skipped>t.detector.skipFrames||!t.mesh.enabled)&&(r=await this.boundingBoxDetector.getBoundingBoxes(e),e.shape[1]!==255&&e.shape[2]!==255&&(this.skipped=0)),r&&r.boxes&&r.boxes.length>0&&(!t.mesh.enabled||r.boxes.length!==this.detectedFaces&&this.detectedFaces!==t.detector.maxFaces)){this.storedBoxes=[],this.detectedFaces=0;for(const _ of r.boxes)this.storedBoxes.push({startPoint:_.box.startPoint.dataSync(),endPoint:_.box.endPoint.dataSync(),landmarks:_.landmarks,confidence:_.confidence});this.storedBoxes.length>0&&(n=!0)}if(n){if(!r||!r.boxes||r.boxes.length===0)return this.storedBoxes=[],this.detectedFaces=0,null;for(const _ in this.storedBoxes){const s=H.scaleBoxCoordinates({startPoint:this.storedBoxes[_].startPoint,endPoint:this.storedBoxes[_].endPoint},r.scaleFactor),h=H.enlargeBox(s),i=this.storedBoxes[_].landmarks.arraySync(),x=this.storedBoxes[_].confidence;this.storedBoxes[_]={...h,confidence:x,landmarks:i}}this.runsWithoutFaceDetector=0}r&&r.boxes&&r.boxes.forEach(_=>{_.box.startPoint.dispose(),_.box.endPoint.dispose(),_.landmarks.dispose()});let c=j.tidy(()=>this.storedBoxes.map((_,s)=>{let h=0;const i=_.landmarks.length>=st;let[x,w]=it;i===!1&&([x,w]=wt),h=W.computeRotation(_.landmarks[x],_.landmarks[w]);const l=H.getBoxCenter({startPoint:_.startPoint,endPoint:_.endPoint}),a=[l[0]/e.shape[2],l[1]/e.shape[1]];let o=e,m=W.IDENTITY_MATRIX;h!==0&&(o=j.image.rotateWithOffset(e,h,0,a),m=W.buildRotationMatrix(-h,l));const b={startPoint:_.startPoint,endPoint:_.endPoint},M=H.cutBoxFromImageAndResize(b,o,[this.meshHeight,this.meshWidth]).div(255);if(!t.mesh.enabled){const k={coords:null,box:_,faceConfidence:null,confidence:_.confidence,image:M};return k}const[,S,I]=this.meshDetector.predict(M),N=S.dataSync()[0];if(S.dispose(),N<t.detector.minConfidence)return I.dispose(),null;const L=j.reshape(I,[-1,3]);let d=L.arraySync();if(t.iris.enabled){const{box:k,boxSize:O,crop:z0}=this.getEyeBox(d,M,Te[0],Te[1],!0),{box:D0,boxSize:N0,crop:L0}=this.getEyeBox(d,M,Me[0],Me[1]),s1=this.irisModel.predict(j.concat([z0,L0])),o1=s1.dataSync();s1.dispose();const O0=o1.slice(0,Ie*3),{rawCoords:i1,iris:H0}=this.getEyeCoords(O0,k,O,!0),U0=o1.slice(Ie*3),{rawCoords:x1,iris:j0}=this.getEyeCoords(U0,D0,N0),y1=this.getLeftToRightEyeDepthDifference(d);Math.abs(y1)<30?(de(d,i1,"left"),de(d,x1,"right")):y1<1?de(d,i1,"left",["EyeUpper0","EyeLower0"]):de(d,x1,"right",["EyeUpper0","EyeLower0"]);const q0=this.getAdjustedIrisCoords(d,H0,"left"),W0=this.getAdjustedIrisCoords(d,j0,"right");d=d.concat(q0).concat(W0)}const u=this.transformRawCoords(d,_,h,m);j.dispose(d);const y=H.enlargeBox(this.calculateLandmarksBoundingBox(u)),f=j.tensor2d(u),v={coords:f,box:y,faceConfidence:N,confidence:_.confidence,image:M};return this.storedBoxes[s]={...y,landmarks:f.arraySync(),confidence:_.confidence,faceConfidence:N},v}));return c=c.filter(_=>_!==null),this.detectedFaces=c.length,c}calculateLandmarksBoundingBox(e){const 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Ae=require("@tensorflow/tfjs"),pt=m1(),A1=Ee(),gt=T1(),bt=M1(),Et=I1().default;class R1{constructor(e,t,n,r){this.pipeline=new gt.Pipeline(e,t,n,r),r&&(this.config=r)}async estimateFaces(e,t){t&&(this.config=t);const n=await this.pipeline.predict(e,t),r=[];for(const c of n||[]){if(c.isDisposedInternal)continue;const _=c.coords?c.coords.arraySync():null,s={};if(_&&_.length>0)for(const h in A1.MESH_ANNOTATIONS)(this.config.iris.enabled||h.includes("Iris")===!1)&&(s[h]=A1.MESH_ANNOTATIONS[h].map(i=>_[i]));r.push({confidence:c.confidence||0,box:c.box?[c.box.startPoint[0],c.box.startPoint[1],c.box.endPoint[0]-c.box.startPoint[0],c.box.endPoint[1]-c.box.startPoint[1]]:0,mesh:_,annotations:s,image:c.image?Ae.clone(c.image):null}),c.coords&&c.coords.dispose(),c.image&&c.image.dispose()}return r}}async function vt(e){const t=await Promise.all([pt.load(e),Ae.loadGraphModel(e.mesh.modelPath,{fromTFHub:e.mesh.modelPath.includes("tfhub.dev")}),Ae.loadGraphModel(e.iris.modelPath,{fromTFHub:e.iris.modelPath.includes("tfhub.dev")})]),n=new R1(t[0],t[1],t[2],e);return console.log(`Human: load model: ${e.mesh.modelPath.match(/\/(.*)\./)[1]}`),console.log(`Human: load model: ${e.iris.modelPath.match(/\/(.*)\./)[1]}`),n}J.load=vt;J.MediaPipeFaceMesh=R1;J.uv_coords=bt;J.triangulation=Et}),ee=p(F1=>{const Pt={};function St(e,t){if(!t||!t.kernels)return;const n=5,r=t.kernels.filter(h=>h.kernelTimeMs>0).reduce((h,i)=>h+=i.kernelTimeMs,0),c=t.kernels.map((h,i)=>(h.id=i,h)).filter(h=>h.kernelTimeMs>0).sort((h,i)=>i.kernelTimeMs-h.kernelTimeMs),_=t.kernels.map((h,i)=>(h.id=i,h)).filter(h=>h.totalBytesSnapshot>0).sort((h,i)=>i.totalBytesSnapshot-h.totalBytesSnapshot);c.length>n&&(c.length=n),_.length>n&&(_.length=n);const 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getBoxes(e,t){const n=this.model.predict(e),r=n.squeeze();n.dispose();const c=E.tidy(()=>E.sigmoid(E.slice(r,[0,0],[-1,1])).squeeze()),_=c.dataSync(),s=E.slice(r,[0,1],[-1,4]),h=this.normalizeBoxes(s);s.dispose();const i=await E.image.nonMaxSuppressionAsync(h,c,t.maxHands,t.iouThreshold,t.scoreThreshold),x=i.arraySync();c.dispose(),i.dispose();const w=[];for(const l of x)if(_[l]>=t.minConfidence){const a=E.slice(h,[l,0],[1,-1]),o=E.slice(r,[l,5],[1,14]),m=E.tidy(()=>this.normalizeLandmarks(o,l).reshape([-1,2]));o.dispose(),w.push({box:a,palmLandmarks:m,confidence:_[l]})}return r.dispose(),h.dispose(),w}async estimateHandBounds(e,t){const n=e.shape[1],r=e.shape[2],c=E.tidy(()=>e.resizeBilinear([t.inputSize,t.inputSize]).div(127.5).sub(1)),_=await this.getBoxes(c,t);if(c.dispose(),!_||_.length===0)return null;const s=[];for(const h of _){const i=h.box.dataSync(),x=i.slice(0,2),w=i.slice(2,4),l=h.palmLandmarks.arraySync();h.box.dispose(),h.palmLandmarks.dispose(),s.push(Sn.scaleBoxCoordinates({startPoint:x,endPoint:w,palmLandmarks:l,confidence:h.confidence},[r/t.inputSize,n/t.inputSize]))}return s}}i0.HandDetector=Tn}),l0=p(kn=>{we(kn,{buildRotationMatrix:()=>In,computeRotation:()=>Mn,dot:()=>Z,getColumnFrom2DArr:()=>a0,invertTransformMatrix:()=>An,normalizeRadians:()=>y0,rotatePoint:()=>Rn});function y0(e){return e-2*Math.PI*Math.floor((e+Math.PI)/(2*Math.PI))}function Mn(e,t){const n=Math.PI/2-Math.atan2(-(t[1]-e[1]),t[0]-e[0]);return y0(n)}const w0=(e,t)=>[[1,0,e],[0,1,t],[0,0,1]];function Z(e,t){let n=0;for(let r=0;r<e.length;r++)n+=e[r]*t[r];return n}function a0(e,t){const n=[];for(let r=0;r<e.length;r++)n.push(e[r][t]);return n}function d0(e,t){const n=[],r=e.length;for(let c=0;c<r;c++){n.push([]);for(let _=0;_<r;_++)n[c].push(Z(e[c],a0(t,_)))}return n}function In(e,t){const n=Math.cos(e),r=Math.sin(e),c=[[n,-r,0],[r,n,0],[0,0,1]],_=w0(t[0],t[1]),s=d0(_,c),h=w0(-t[0],-t[1]);return d0(s,h)}function An(e){const t=[[e[0][0],e[1][0]],[e[0][1],e[1][1]]],n=[e[0][2],e[1][2]],r=[-Z(t[0],n),-Z(t[1],n)];return[t[0].concat(r[0]),t[1].concat(r[1]),[0,0,1]]}function Rn(e,t){return[Z(e,t[0]),Z(e,t[1])]}}),b0=p(u0=>{const f0=require("@tensorflow/tfjs"),F=e1(),Y=l0(),Bn=[0,-.4],Fn=3,m0=[0,-.1],p0=1.65,g0=[0,5,9,13,17,1,2],Cn=0,zn=2;class Dn{constructor(e,t,n){this.boxDetector=e,this.meshDetector=t,this.inputSize=n,this.storedBoxes=[],this.skipped=1e3,this.detectedHands=0}getBoxForPalmLandmarks(e,t){const n=e.map(c=>{const _=[...c,1];return Y.rotatePoint(_,t)}),r=this.calculateLandmarksBoundingBox(n);return F.enlargeBox(F.squarifyBox(F.shiftBox(r,Bn)),Fn)}getBoxForHandLandmarks(e){const t=this.calculateLandmarksBoundingBox(e),n=F.enlargeBox(F.squarifyBox(F.shiftBox(t,m0)),p0),r=[];for(let c=0;c<g0.length;c++)r.push(e[g0[c]].slice(0,2));return n.palmLandmarks=r,n}transformRawCoords(e,t,n,r){const c=F.getBoxSize(t),_=[c[0]/this.inputSize,c[1]/this.inputSize],s=e.map(a=>[_[0]*(a[0]-this.inputSize/2),_[1]*(a[1]-this.inputSize/2),a[2]]),h=Y.buildRotationMatrix(n,[0,0]),i=s.map(a=>{const o=Y.rotatePoint(a,h);return[...o,a[2]]}),x=Y.invertTransformMatrix(r),w=[...F.getBoxCenter(t),1],l=[Y.dot(w,x[0]),Y.dot(w,x[1])];return i.map(a=>[a[0]+l[0],a[1]+l[1],a[2]])}async estimateHands(e,t){this.skipped++;let n=!1,r;if((this.skipped>t.skipFrames||!t.landmarks)&&(r=await this.boxDetector.estimateHandBounds(e,t),e.shape[1]!==255&&e.shape[2]!==255&&(this.skipped=0)),r&&r.length>0&&(r.length!==this.detectedHands&&this.detectedHands!==t.maxHands||!t.landmarks)){this.storedBoxes=[],this.detectedHands=0;for(const _ of r)this.storedBoxes.push(_);this.storedBoxes.length>0&&(n=!0)}const c=[];for(const _ in this.storedBoxes){const s=this.storedBoxes[_];if(!s)continue;if(t.landmarks){const h=Y.computeRotation(s.palmLandmarks[Cn],s.palmLandmarks[zn]),i=F.getBoxCenter(s),x=[i[0]/e.shape[2],i[1]/e.shape[1]],w=f0.image.rotateWithOffset(e,h,0,x),l=Y.buildRotationMatrix(-h,i),a=n?this.getBoxForPalmLandmarks(s.palmLandmarks,l):s,o=F.cutBoxFromImageAndResize(a,w,[this.inputSize,this.inputSize]),m=o.div(255);o.dispose(),w.dispose();const[b,M]=await this.meshDetector.predict(m);m.dispose();const S=b.dataSync()[0];if(b.dispose(),S>=t.minConfidence){const I=f0.reshape(M,[-1,3]),N=I.arraySync();M.dispose(),I.dispose();const L=this.transformRawCoords(N,a,h,l),d=this.getBoxForHandLandmarks(L);this.storedBoxes[_]=d;const u={landmarks:L,confidence:S,box:{topLeft:d.startPoint,bottomRight:d.endPoint}};c.push(u)}else this.storedBoxes[_]=null;M.dispose()}else{const h=F.enlargeBox(F.squarifyBox(F.shiftBox(s,m0)),p0),i={confidence:s.confidence,box:{topLeft:h.startPoint,bottomRight:h.endPoint}};c.push(i)}}return this.storedBoxes=this.storedBoxes.filter(_=>_!==null),this.detectedHands=c.length,c}calculateLandmarksBoundingBox(e){const 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Ln.HandPipeline(r,n,e.inputSize),_=new S0(c);return console.log(`Human: load model: ${e.detector.modelPath.match(/\/(.*)\./)[1]}`),console.log(`Human: load model: ${e.skeleton.modelPath.match(/\/(.*)\./)[1]}`),_}t1.load=Hn}),k0=p(ge=>{ge.body=e=>{if(!e)return[];const t=[];for(const n of e){const r=n.keypoints.find(i=>i.part==="leftWrist"),c=n.keypoints.find(i=>i.part==="rightWrist"),_=n.keypoints.find(i=>i.part==="nose");_&&r&&c&&r.position.y<_.position.y&&c.position.y<_.position.y?t.push("i give up"):_&&r&&r.position.y<_.position.y?t.push("raise left hand"):_&&c&&c.position.y<_.position.y&&t.push("raise right hand");const s=n.keypoints.find(i=>i.part==="leftShoulder"),h=n.keypoints.find(i=>i.part==="rightShoulder");s&&h&&t.push(`leaning ${s.position.y>h.position.y?"left":"right"}`)}return t};ge.face=e=>{if(!e)return[];const t=[];for(const n of e)if(n.mesh&&n.mesh.length>0){const r=n.mesh[35][2]-n.mesh[263][2];Math.abs(r)<10?t.push("facing camera"):t.push(`facing ${r<0?"right":"left"}`);const c=Math.abs(n.mesh[374][1]-n.mesh[386][1])/Math.abs(n.mesh[443][1]-n.mesh[450][1]);c<.2&&t.push("blink left eye");const _=Math.abs(n.mesh[145][1]-n.mesh[159][1])/Math.abs(n.mesh[223][1]-n.mesh[230][1]);_<.2&&t.push("blink right eye");const s=Math.min(100,500*Math.abs(n.mesh[13][1]-n.mesh[14][1])/Math.abs(n.mesh[10][1]-n.mesh[152][1]));s>10&&t.push(`mouth ${Math.trunc(s)}% open`);const h=n.mesh[152][2];Math.abs(h)>10&&t.push(`head ${h<0?"up":"down"}`)}return t};ge.hand=e=>{if(!e)return[];const t=[];for(const n of e){const r=[];for(const[c,_]of Object.entries(n.annotations))c!=="palmBase"&&r.push({name:c.toLowerCase(),position:_[0]});if(r&&r.length>0){const c=r.reduce((s,h)=>s.position[2]<h.position[2]?s:h),_=r.reduce((s,h)=>s.position[1]<h.position[1]?s:h);t.push(`${c.name} forward ${_.name} up`)}}return t}}),I0=p(M0=>{const Un=function(e,t,n){const r=function(h,i,x){const w=new RegExp("\\b"+i+" \\w+ 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Xn={backend:"webgl",console:!0,async:!0,profile:!1,deallocate:!1,scoped:!1,videoOptimized:!0,filter:{enabled:!0,width:0,height:0,return:!0,brightness:0,contrast:0,sharpness:0,blur:0,saturation:0,hue:0,negative:!1,sepia:!1,vintage:!1,kodachrome:!1,technicolor:!1,polaroid:!1,pixelate:0},gesture:{enabled:!0},face:{enabled:!0,detector:{modelPath:"../models/blazeface-back.json",inputSize:256,maxFaces:10,skipFrames:15,minConfidence:.5,iouThreshold:.2,scoreThreshold:.5},mesh:{enabled:!0,modelPath:"../models/facemesh.json",inputSize:192},iris:{enabled:!0,modelPath:"../models/iris.json",inputSize:64},age:{enabled:!0,modelPath:"../models/age-ssrnet-imdb.json",inputSize:64,skipFrames:15},gender:{enabled:!0,minConfidence:.1,modelPath:"../models/gender-ssrnet-imdb.json",inputSize:64,skipFrames:15},emotion:{enabled:!0,inputSize:64,minConfidence:.2,skipFrames:15,modelPath:"../models/emotion-large.json"}},body:{enabled:!0,modelPath:"../models/posenet.json",inputSize:257,maxDetections:10,scoreThreshold:.8,nmsRadius:20},hand:{enabled:!0,inputSize:256,skipFrames:15,minConfidence:.5,iouThreshold:.1,scoreThreshold:.8,maxHands:1,landmarks:!0,detector:{modelPath:"../models/handdetect.json"},skeleton:{modelPath:"../models/handskeleton.json"}}}}),C0=p((F5,F0)=>{F0.exports={name:"@vladmandic/human",version:"0.8.4",description:"human: 3D Face Detection, Body Pose, Hand & Finger Tracking, Iris Tracking, Age & Gender Prediction, Emotion Prediction & Gesture Recognition",sideEffects:!1,main:"dist/human.node.js",module:"dist/human.esm.js",browser:"dist/human.esm.js",author:"Vladimir Mandic <mandic00@live.com>",bugs:{url:"https://github.com/vladmandic/human/issues"},homepage:"https://github.com/vladmandic/human#readme",license:"MIT",engines:{node:">=14.0.0"},repository:{type:"git",url:"git+https://github.com/vladmandic/human.git"},dependencies:{},peerDependencies:{},devDependencies:{"@tensorflow/tfjs":"^2.7.0","@tensorflow/tfjs-node":"^2.7.0","@vladmandic/pilogger":"^0.2.7",chokidar:"^3.4.3",dayjs:"^1.9.5",esbuild:"^0.7.22",eslint:"^7.13.0","eslint-config-airbnb-base":"^14.2.1","eslint-plugin-import":"^2.22.1","eslint-plugin-json":"^2.1.2","eslint-plugin-node":"^11.1.0","eslint-plugin-promise":"^4.2.1",rimraf:"^3.0.2",seedrandom:"^3.0.5","simple-git":"^2.21.0"},scripts:{start:"node --trace-warnings --unhandled-rejections=strict --trace-uncaught --no-deprecation src/node.js",lint:"eslint src/*.js demo/*.js",dev:"npm install && node --trace-warnings --unhandled-rejections=strict --trace-uncaught --no-deprecation dev-server/dev-server.js",changelog:"node dev-server/changelog.js","build-iife":"esbuild --bundle --minify --platform=browser --sourcemap --target=es2018 --format=iife --external:fs --global-name=Human --metafile=dist/human.json --outfile=dist/human.js src/human.js","build-esm-bundle":"esbuild --bundle --minify --platform=browser --sourcemap --target=es2018 --format=esm --external:fs --metafile=dist/human.esm.json --outfile=dist/human.esm.js src/human.js","build-esm-nobundle":"esbuild --bundle --minify --platform=browser --sourcemap --target=es2018 --format=esm --external:@tensorflow --external:fs --metafile=dist/human.esm-nobundle.json --outfile=dist/human.esm-nobundle.js src/human.js","build-node":"esbuild --bundle --minify --platform=node --sourcemap --target=es2018 --format=cjs --metafile=dist/human.node.json --outfile=dist/human.node.js src/human.js","build-node-nobundle":"esbuild --bundle --minify --platform=node --sourcemap --target=es2018 --format=cjs --external:@tensorflow --metafile=dist/human.node.json --outfile=dist/human.node-nobundle.js src/human.js","build-demo":"esbuild --bundle --log-level=error --platform=browser --sourcemap --target=es2018 --format=esm --external:fs --metafile=dist/demo-browser-index.json --outfile=dist/demo-browser-index.js demo/browser.js",build:"rimraf dist/* && npm run build-iife && npm run build-esm-bundle && npm run build-esm-nobundle && npm run build-node && npm run build-node-nobundle && npm run build-demo && npm run changelog",update:"npm update --depth 20 --force && npm dedupe && npm prune && npm audit"},keywords:["tensorflowjs","face-detection","face-geometry","body-tracking","hand-tracking","iris-tracking","age-estimation","emotion-detection","gender-prediction","gesture-recognition"]}});const A=require("@tensorflow/tfjs"),r1=B1(),oe=C1(),ie=z1(),xe=N1(),c1=o0(),_1=T0(),h1=k0(),Yn=R0(),Kn=ee(),Vn=B0().default,$n=C0(),Qn={face:{detector:{skipFrames:0},age:{skipFrames:0},gender:{skipFrames:0},emotion:{skipFrames:0}},hand:{skipFrames:0}},P=()=>typeof performance!="undefined"?performance.now():parseInt(Number(process.hrtime.bigint())/1e3/1e3);function ye(...e){const t=n=>n&&typeof n=="object";return e.reduce((n,r)=>(Object.keys(r||{}).forEach(c=>{const _=n[c],s=r[c];Array.isArray(_)&&Array.isArray(s)?n[c]=_.concat(...s):t(_)&&t(s)?n[c]=ye(_,s):n[c]=s}),n),{})}class Zn{constructor(e={}){this.tf=A,this.version=$n.version,this.config=ye(Vn,e),this.fx=null,this.state="idle",this.numTensors=0,this.analyzeMemoryLeaks=!1,this.checkSanity=!1,this.firstRun=!0,this.perf={},this.models={facemesh:null,posenet:null,handpose:null,iris:null,age:null,gender:null,emotion:null},this.facemesh=r1,this.age=oe,this.gender=ie,this.emotion=xe,this.body=c1,this.hand=_1}log(...e){e&&this.config.console&&console.log("Human:",...e)}profile(){return this.config.profile?Kn.data:{}}analyze(...e){if(!this.analyzeMemoryLeaks)return;const t=A.engine().state.numTensors,n=this.numTensors;this.numTensors=t;const r=t-n;r!==0&&this.log(...e,r)}sanity(e){if(!this.checkSanity)return null;if(!e)return"input is not defined";if(A.ENV.flags.IS_NODE&&!(e instanceof A.Tensor))return"input must be a tensor";try{A.getBackend()}catch(t){return"backend not loaded"}return null}async load(e){this.state="load";const t=P();e&&(this.config=ye(this.config,e)),this.firstRun&&(this.checkBackend(!0),this.log(`version: ${this.version} TensorFlow/JS version: ${A.version_core}`),this.log("configuration:",this.config),this.log("flags:",A.ENV.flags),this.firstRun=!1),this.config.async?[this.models.age,this.models.gender,this.models.emotion,this.models.facemesh,this.models.posenet,this.models.handpose]=await Promise.all([this.models.age||oe.load(this.config),this.models.gender||ie.load(this.config),this.models.emotion||xe.load(this.config),this.models.facemesh||r1.load(this.config.face),this.models.posenet||c1.load(this.config),this.models.handpose||_1.load(this.config.hand)]):(this.config.face.enabled&&!this.models.facemesh&&(this.models.facemesh=await r1.load(this.config.face)),this.config.body.enabled&&!this.models.posenet&&(this.models.posenet=await c1.load(this.config)),this.config.hand.enabled&&!this.models.handpose&&(this.models.handpose=await _1.load(this.config.hand)),this.config.face.enabled&&this.config.face.age.enabled&&!this.models.age&&(this.models.age=await oe.load(this.config)),this.config.face.enabled&&this.config.face.gender.enabled&&!this.models.gender&&(this.models.gender=await ie.load(this.config)),this.config.face.enabled&&this.config.face.emotion.enabled&&!this.models.emotion&&(this.models.emotion=await xe.load(this.config)));const n=Math.trunc(P()-t);n>(this.perf.load||0)&&(this.perf.load=n)}async checkBackend(e){const t=P();(this.config.backend&&this.config.backend!==""&&e||A.getBackend()!==this.config.backend)&&(this.state="backend",this.log("setting backend:",this.config.backend),await A.setBackend(this.config.backend),A.enableProdMode(),this.config.backend==="webgl"&&(this.config.deallocate&&(this.log("Changing WebGL: WEBGL_DELETE_TEXTURE_THRESHOLD:",this.config.deallocate),A.ENV.set("WEBGL_DELETE_TEXTURE_THRESHOLD",this.config.deallocate?0:-1)),A.ENV.set("WEBGL_PACK_DEPTHWISECONV",!0)),await A.ready());const n=Math.trunc(P()-t);n>(this.perf.backend||0)&&(this.perf.backend=n)}async detectFace(e){let t,n,r,c;const _=[];this.state="run:face",t=P();const s=await this.models.facemesh.estimateFaces(e,this.config.face);this.perf.face=Math.trunc(P()-t);for(const h of s){if(this.analyze("Get Face"),!h.image||h.image.isDisposedInternal){this.log("Face object is disposed:",h.image);continue}this.analyze("Start Age:"),this.config.async?n=this.config.face.age.enabled?oe.predict(h.image,this.config):{}:(this.state="run:age",t=P(),n=this.config.face.age.enabled?await oe.predict(h.image,this.config):{},this.perf.age=Math.trunc(P()-t)),this.analyze("Start Gender:"),this.config.async?r=this.config.face.gender.enabled?ie.predict(h.image,this.config):{}:(this.state="run:gender",t=P(),r=this.config.face.gender.enabled?await ie.predict(h.image,this.config):{},this.perf.gender=Math.trunc(P()-t)),this.analyze("Start Emotion:"),this.config.async?c=this.config.face.emotion.enabled?xe.predict(h.image,this.config):{}:(this.state="run:emotion",t=P(),c=this.config.face.emotion.enabled?await xe.predict(h.image,this.config):{},this.perf.emotion=Math.trunc(P()-t)),this.analyze("End Emotion:"),this.config.async&&([n,r,c]=await Promise.all([n,r,c])),this.analyze("Finish Face:"),h.image.dispose();const i=h.annotations.leftEyeIris&&h.annotations.rightEyeIris?11.7*Math.max(Math.abs(h.annotations.leftEyeIris[3][0]-h.annotations.leftEyeIris[1][0]),Math.abs(h.annotations.rightEyeIris[4][1]-h.annotations.rightEyeIris[2][1])):0;_.push({confidence:h.confidence,box:h.box,mesh:h.mesh,annotations:h.annotations,age:n.age,gender:r.gender,genderConfidence:r.confidence,emotion:c,iris:i!==0?Math.trunc(i)/100:0}),this.analyze("End Face")}return this.analyze("End FaceMesh:"),this.config.async&&(this.perf.face&&delete this.perf.face,this.perf.age&&delete this.perf.age,this.perf.gender&&delete this.perf.gender,this.perf.emotion&&delete this.perf.emotion),_}async detect(e,t={}){this.state="config";let n;this.config=ye(this.config,t),this.config.videoOptimized||(this.config=ye(this.config,Qn)),this.state="check";const r=this.sanity(e);return r?(this.log(r,e),{error:r}):new Promise(async c=>{let _,s,h;const i=P();await this.checkBackend(),await this.load(),this.config.scoped&&A.engine().startScope(),this.analyze("Start Scope:"),n=P();const x=Yn.process(e,this.config);this.perf.image=Math.trunc(P()-n),this.analyze("Get Image:"),this.config.async?(h=this.config.face.enabled?this.detectFace(x.tensor):[],this.perf.face&&delete this.perf.face):(this.state="run:face",n=P(),h=this.config.face.enabled?await this.detectFace(x.tensor):[],this.perf.face=Math.trunc(P()-n)),this.analyze("Start Body:"),this.config.async?(_=this.config.body.enabled?this.models.posenet.estimatePoses(x.tensor,this.config):[],this.perf.body&&delete this.perf.body):(this.state="run:body",n=P(),_=this.config.body.enabled?await this.models.posenet.estimatePoses(x.tensor,this.config):[],this.perf.body=Math.trunc(P()-n)),this.analyze("End Body:"),this.analyze("Start Hand:"),this.config.async?(s=this.config.hand.enabled?this.models.handpose.estimateHands(x.tensor,this.config.hand):[],this.perf.hand&&delete this.perf.hand):(this.state="run:hand",n=P(),s=this.config.hand.enabled?await this.models.handpose.estimateHands(x.tensor,this.config.hand):[],this.perf.hand=Math.trunc(P()-n)),this.config.async&&([h,_,s]=await Promise.all([h,_,s])),x.tensor.dispose(),this.config.scoped&&A.engine().endScope(),this.analyze("End Scope:");let w=[];this.config.gesture.enabled&&(n=P(),w={face:h1.face(h),body:h1.body(_),hand:h1.hand(s)},this.config.async?this.perf.gesture&&delete this.perf.gesture:this.perf.gesture=Math.trunc(P()-n)),this.perf.total=Math.trunc(P()-i),this.state="idle",c({face:h,body:_,hand:s,gesture:w,performance:this.perf,canvas:x.canvas})})}async warmup(e){const t=new ImageData(255,255);await this.detect(t,e),this.log("warmed up")}}export{Zn as default};
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/**
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* @license
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* Copyright 2020 Google LLC. All Rights Reserved.
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* Licensed under the Apache License, Version 2.0 (the "License");
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* you may not use this file except in compliance with the License.
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* You may obtain a copy of the License at
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*
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* https://www.apache.org/licenses/LICENSE-2.0
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*
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* Unless required by applicable law or agreed to in writing, software
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* distributed under the License is distributed on an "AS IS" BASIS,
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* WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.
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* See the License for the specific language governing permissions and
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* limitations under the License.
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* =============================================================================
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*/
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//# sourceMappingURL=human.esm-nobundle.js.map
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